UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation

Zhuangzhuang Dai, Peter R. Shepherd, Robert J. Watson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A novel source localization approach suitable for urban environments is proposed. The reliability against noise and other practical issues are investigated via simulation. A fingerprint database of transmitter and receiver candidate locations is obtained using an efficient ray launching simulator developed in earlier work. Following a pre-described path, a UAV (unmanned aerial vehicle) equipped with a radio receiver is simulated to generate time series of observations such as signal strength and angle-of-arrival for all possible transmitter candidate locations. The localisation algorithm uses an approach based on the DFT (discrete Fourier transform) and dynamic time warping (DTW). Using the fingerprint database and the measured time-series the best matching transmitter location is found. The algorithm is found to be robust to significant measurement errors and also to signification deviations in the actual path flown by the UAV.

Original languageEnglish
Title of host publication2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
PublisherIEEE
Pages595-596
Number of pages2
ISBN (Electronic)9781538632840
DOIs
Publication statusPublished - 18 Oct 2017
Event2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, USA United States
Duration: 9 Jul 201714 Jul 2017

Conference

Conference2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
CountryUSA United States
CitySan Diego
Period9/07/1714/07/17

Keywords

  • Propagation
  • Ray launching
  • Source localization

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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